Kapabilitas Struktur Klasifikasi SPK : SEBUAH TINJAUAN Kapabilitas Struktur Klasifikasi Referensi lihat SAP : [5] Bab 3, [7] Chapter 3 SPK :Sebuah Tinjauan

Definisi SPK Little (1970) “model-based set of procedures for processing data and judgments to assist a manager in his decision making” Assumption: that the system is computer-based and extends the user’s capabilities. Alter (1980) Contrasts DSS with traditional EDP systems (Table 3.1) Moore and Chang (1980) 1. Extendible systems 2. Capable of supporting ad hoc data analysis and decision modeling 3. Oriented toward future planning 4. Used at irregular, unplanned intervals Bonczek et al. (1980) A computer-based system consisting of 1. A language system -- communication between the user and DSS components 2. A knowledge system 3. A problem-processing system--the link between the other two components SPK :Sebuah Tinjauan

Central Issue in DSS support and improvement of decision making Keen (1980) DSS apply “to situations where a ‘final’ system can be developed only through an adaptive process of learning and evolution” Central Issue in DSS support and improvement of decision making SPK :Sebuah Tinjauan

Konfigurasi SPK Mendukung secara pribadi dan kelompok. Digunakan berulang dan konstan 2 komponen utama : data dan model Berbasis web Digunakan secara subyektif, personal dan data obyektif Memiliki model simulasi Digunakan di sektor publik dan privat Memiliki kemampuan ‘what-if’ Menggunakan model kuantitatif dan kualitatif SPK :Sebuah Tinjauan

Working Definition of DSS A DSS is an interactive, flexible, and adaptable CBIS, specially developed for supporting the solution of a non-structured management problem for improved decision making. It utilizes data, it provides easy user interface, and it allows for the decision maker’s own insights DSS may utilize models, is built by an interactive process (frequently by end-users), supports all the phases of the decision making, and may include a knowledge component SPK :Sebuah Tinjauan

Karakteristik & Kapabilitas SPK 1. Provide support in semi-structured and unstructured situations, includes human judgment and computerized information 2. Support for various managerial levels 3. Support to individuals and groups 4. Support to interdependent and/or sequential decisions 5. Support all phases of the decision-making process 6. Support a variety of decision-making processes and styles 7. Are adaptive 8. Have user friendly interfaces 9. Goal: improve effectiveness of decision making 10. The decision maker controls the decision-making process 11. End-users can build simple systems 12. Utilizes models for analysis 13. Provides access to a variety of data sources, formats, and types Decision Support Systems and Intelligent Systems, Efraim Turban and Jay E. Aronson, 6th edition. Copyright 2001, Prentice Hall, Upper Saddle River, NJ SPK :Sebuah Tinjauan

Komponen SPK User User Interface DBMS MBMS KBS3 KBS2 KBS1 1. Data Management Subsystem 2. Model Management Subsystem 3. Knowledge-based (Management) Subsystem 4. User Interface Subsystem 5. The User SPK :Sebuah Tinjauan

The Data Management Subsystem DSS database Database management system Data directory Query facility (Figure 3.3) DSS Database Issues Data warehouse Data mining Special independent DSS databases Extraction of data from internal, external, and private sources Web browser data access Web database servers Multimedia databases Special GSS databases (like Lotus Notes / Domino Server) Online Analytical Processing (OLAP) Object-oriented databases Commercial database management systems (DBMS) SPK :Sebuah Tinjauan

The Model Management Subsystem Analog of the database management subsystem (Figure 3.4) Model base Model base management system Modeling language Model directory Model execution, integration, and command processor The Model Management Issue Model level: Strategic, managerial (tactical), and operational Modeling languages Lack of standard MBMS activities. WHY? Use of AI and fuzzy logic in MBMS SPK :Sebuah Tinjauan

The Knowledge Based (Management) Subsystem Provides expertise in solving complex unstructured and semi-structured problems Expertise provided by an expert system or other intelligent system Advanced DSS have a knowledge based (management) component Leads to intelligent DSS Example: Data mining The User Interface (Dialog) Subsystem Includes all communication between a user and the MSS Graphical user interfaces (GUI) Voice recognition and speech synthesis possible To most users, the user interface is the system SPK :Sebuah Tinjauan

The User Different usage patterns for the user, the manager, or the decision maker Managers Staff specialists Intermediaries 1. Staff assistant 2. Expert tool user 3. Business (system) analyst 4. GSS Facilitator SPK :Sebuah Tinjauan

Distinguishing DSS from Management Science and MIS DSS is a problem-solving tool and is frequently used to address ad hoc and unexpected problems Different than MIS DSS evolve as they develop SPK :Sebuah Tinjauan

Klasifikasi SPK Kategori SPK Cerdas Alter’s Output Classification (1980) Degree of action implication of system outputs (supporting decision) (Table 3.3) Holsapple and Whinston’s Classification 1. Text-oriented DSS 2. Database-oriented DSS 3. Spreadsheet-oriented DSS 4. Solver-oriented DSS 5. Rule-oriented DSS 6. Compound DSS Kategori SPK Cerdas Descriptive Procedural Reasoning Linguistic Presentation Assimilative Symbiotic, Expert-system based, Adaptive, Holistic SPK :Sebuah Tinjauan

SPK Institusional vs SPK Ad Hoc Klasifikasi Lain SPK Institusional vs SPK Ad Hoc Institutional DSS deals with decisions of a recurring nature Ad Hoc DSS deals with specific problems that are usually neither anticipated nor recurring Degree of nonprocedurality (Bonczek et al., 1980) Personal, group, and organizational support (Hackathorn and Keen, 1981) Individual versus group support systems (GSS) Custom-made versus ready-made systems SPK :Sebuah Tinjauan

Kesimpulan Dasar SPK Komponen SPK Kapabilitas utama dari komponen SPK Kategori utama SPK SPK :Sebuah Tinjauan